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mradermacher/gemma-3-1b-it-heretic-extreme-uncensored-abliterated-i1-GGUF

mradermacher Gemma 1B GGUF second-order 33K ctx
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Response includes
  • classification m3
  • files 27
  • hub_downloads_all_time 31,169
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
31K
3K last 30d - stable
Likes
14
Model age
10mo ago
created 2025-11-21
Downloads over time
Now32.7K→from2.7K↑1,131%
1.2K12.7K24.2K35.7K2.7K on Nov 19, 202532.7K on Oct 11Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 11 · 88 snapshots · spans 326 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 5K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated finetune en base_model:DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated base_model:quantized:DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated endpoints_compatible region:us

Related

Total size
16.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 06:13

Files by quantization

Q6_K 1 file 965 MB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q6_K.gguf 965 MB e8542ba8 download
Q5_K 2 files 1.57 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q5_K_M.gguf 812 MB d69e879b download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q5_K_S.gguf 798 MB 4067f3ce download
Q4_K 2 files 1.48 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q4_K_M.gguf 769 MB 37dcdfea download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q4_K_S.gguf 745 MB ac9e150b download
Q4 2 files 1.38 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q4_1.gguf 729 MB a6ed6d41 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q4_0.gguf 688 MB 78b823dc download
Q3_K 3 files 2.01 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q3_K_L.gguf 717 MB 6ab3da8e download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q3_K_M.gguf 689 MB 5b3f5f0d download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q3_K_S.gguf 657 MB 180b676e download
IQ4 2 files 1.34 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ4_NL.gguf 688 MB 5a371ed6 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ4_XS.gguf 681 MB d9ee7307 download
IQ3 4 files 2.57 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ3_M.gguf 665 MB 2aef9e09 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ3_S.gguf 658 MB 0544cbf6 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ3_XS.gguf 658 MB bf3bb7de download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ3_XXS.gguf 649 MB 136f4d91 download
Q2_K 2 files 1.27 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q2_K.gguf 658 MB 68f8e156 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-Q2_K_S.gguf 640 MB b7248ab9 download
IQ2 4 files 2.46 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ2_M.gguf 639 MB 4e41c0ec download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ2_S.gguf 633 MB 19405bd3 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ2_XS.gguf 627 MB e43caf85 download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ2_XXS.gguf 620 MB 5dac897b download
IQ1 2 files 1.19 GB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ1_M.gguf 614 MB ebc2f7dd download
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.i1-IQ1_S.gguf 610 MB ead46f7f download
Auxiliary files 3 files 1.40 MB
gemma-3-1b-it-heretic-extreme-uncensored-abliterated.imatrix.gguf 1.39 MB 91c7876e download
README.md 7.75 KB c8893f1e download
.gitattributes 4.01 KB 783cef58 download

README current version from Hugging Face


base_model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • finetune

About

weighted/imatrix quants of https://huggingface.co/DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/gemma-3-1b-it-heretic-extreme-uncensored-abliterated-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 0.7 for the desperate
GGUF i1-IQ1_M 0.7 mostly desperate
GGUF i1-IQ2_XXS 0.8
GGUF i1-IQ2_XS 0.8
GGUF i1-IQ2_S 0.8
GGUF i1-IQ2_M 0.8
GGUF i1-Q2_K_S 0.8 very low quality
GGUF i1-IQ3_XXS 0.8 lower quality
GGUF i1-Q3_K_S 0.8 IQ3_XS probably better
GGUF i1-IQ3_S 0.8 beats Q3_K*
GGUF i1-IQ3_XS 0.8
GGUF i1-Q2_K 0.8 IQ3_XXS probably better
GGUF i1-IQ3_M 0.8
GGUF i1-IQ4_XS 0.8
GGUF i1-IQ4_NL 0.8 prefer IQ4_XS
GGUF i1-Q4_0 0.8 fast, low quality
GGUF i1-Q3_K_M 0.8 IQ3_S probably better
GGUF i1-Q3_K_L 0.9 IQ3_M probably better
GGUF i1-Q4_1 0.9
GGUF i1-Q4_K_S 0.9 optimal size/speed/quality
GGUF i1-Q4_K_M 0.9 fast, recommended
GGUF i1-Q5_K_S 0.9
GGUF i1-Q5_K_M 1.0
GGUF i1-Q6_K 1.1 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 3 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-12-06auto-patch README.md9e1b7487.8 KB
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  2. 2025-11-21auto-patch README.md5f091957.8 KB
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  3. 2025-11-21uploaded from leiad42e6f1506 B
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Discussions 1 thread

  1. 2026-06-18Creates errors in RuneXX workflowclosed6 💬#1
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